DocumentCode
2491661
Title
Multichannel signal modeling and separation
Author
Shamsunder, Sanyogita ; Giannakis, Georgios B.
Author_Institution
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
fYear
1994
fDate
2-5 Oct 1994
Firstpage
173
Lastpage
176
Abstract
Separation of multiple signals from their superposition recorded at several sensors is addressed. The methods employ polyspectra of the sensor data in order to extract the unknown signals and estimate the exact coupling systems via a linear equation based method. Proposed schemes are also useful for multichannel blind deconvolution even when the input signals are colored with (possibly) overlapping spectra. Simulation results corroborate the applicability of the algorithm
Keywords
deconvolution; parameter estimation; signal reconstruction; spectral analysis; algorithm; blind deconvolution; coupling systems; linear equation based method; multichannel signal modeling; multiple signals; polyspectra; sensor data; separation; superposition; Biomedical signal processing; Biosensors; Equations; Gas detectors; Interference; Linear systems; Microphones; Sensor systems; Signal processing algorithms; Source separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Conference_Location
Yosemite National Park, CA
Print_ISBN
0-7803-1948-6
Type
conf
DOI
10.1109/DSP.1994.379847
Filename
379847
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